code: def bijector_supports():
      """Returns a dict of supports for each instantiable bijector.
  
      Warns if any `instantiable_bijectors` are found to have no declared supports,
      once per Python process.
  
      Returns:
        supports: Python `dict` mapping `str` bijector name to the corresponding
          `BijectorSupport` object.
      """
      global BIJECTOR_SUPPORTS
      if BIJECTOR_SUPPORTS is not None:
          return BIJECTOR_SUPPORTS
      Support = tfp_hps.Support  # pylint: disable=invalid-name
      supports = {
          "_Invert": BijectorSupport(Support.OTHER, Support.OTHER),
          "Ascending": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED,
              Support.VECTOR_STRICTLY_INCREASING,
          ),
          "BatchNormalization": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "CholeskyOuterProduct": BijectorSupport(
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
              Support.MATRIX_POSITIVE_DEFINITE,
          ),
          "CholeskyToInvCholesky": BijectorSupport(
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
          ),
          "CorrelationCholesky": BijectorSupport(
              Support.VECTOR_SIZE_TRIANGULAR,
              Support.CORRELATION_CHOLESKY,
          ),
          "Cumsum": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "DiscreteCosineTransform": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "Exp": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_POSITIVE
          ),
          "Expm1": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_GT_NEG1
          ),
          "FillScaleTriL": BijectorSupport(
              Support.VECTOR_SIZE_TRIANGULAR,
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
          ),
          "FillTriangular": BijectorSupport(
              Support.VECTOR_SIZE_TRIANGULAR, Support.MATRIX_LOWER_TRIL
          ),
          "FrechetCDF": BijectorSupport(  # The domain is parameter dependent.
              Support.OTHER, Support.SCALAR_IN_0_1
          ),
          "GeneralizedExtremeValueCDF": BijectorSupport(  # The domain is parameter dependent.
              Support.OTHER, Support.SCALAR_IN_0_1
          ),
          "GeneralizedPareto": BijectorSupport(  # The range is parameter dependent.
              Support.SCALAR_UNCONSTRAINED, Support.OTHER
          ),
          "GompertzCDF": BijectorSupport(
              Support.SCALAR_POSITIVE, Support.SCALAR_IN_0_1
          ),
          "GumbelCDF": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_0_1
          ),
          "Householder": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "Identity": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "Inline": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "Invert": BijectorSupport(Support.OTHER, Support.OTHER),
          "IteratedSigmoidCentered": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED,
              Support.VECTOR_POSITIVE_WITH_L1_NORM_1_SIZE_GT1,
          ),
          "KumaraswamyCDF": BijectorSupport(
              Support.SCALAR_IN_0_1, Support.SCALAR_IN_0_1
          ),
          "Log": BijectorSupport(
              Support.SCALAR_POSITIVE, Support.SCALAR_UNCONSTRAINED
          ),
          "Log1p": BijectorSupport(
              Support.SCALAR_GT_NEG1, Support.SCALAR_UNCONSTRAINED
          ),
          "MatrixInverseTriL": BijectorSupport(
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
              Support.MATRIX_LOWER_TRIL_POSITIVE_DEFINITE,
          ),
          "MatvecLU": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "MoyalCDF": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_0_1
          ),
          "NormalCDF": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_0_1
          ),
          "Ordered": BijectorSupport(
              Support.VECTOR_STRICTLY_INCREASING,
              Support.VECTOR_UNCONSTRAINED,
          ),
          "Permute": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "Power": BijectorSupport(
              Support.SCALAR_POSITIVE, Support.SCALAR_POSITIVE
          ),
          "PowerTransform": BijectorSupport(  # The domain is parameter dependent.
              Support.OTHER, Support.SCALAR_POSITIVE
          ),
          "RationalQuadraticSpline": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "RayleighCDF": BijectorSupport(
              Support.SCALAR_NON_NEGATIVE, Support.SCALAR_IN_0_1
          ),
          "Reciprocal": BijectorSupport(
              Support.SCALAR_NON_ZERO, Support.SCALAR_NON_ZERO
          ),
          "Reshape": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "Scale": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "ScaleMatvecDiag": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "ScaleMatvecLU": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "ScaleMatvecTriL": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED, Support.VECTOR_UNCONSTRAINED
          ),
          "Shift": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "ShiftedGompertzCDF": BijectorSupport(
              Support.SCALAR_POSITIVE, Support.SCALAR_IN_0_1
          ),
          "Sigmoid": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_0_1
          ),
          "Sinh": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "SinhArcsinh": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "SoftClip": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.OTHER
          ),
          "Softfloor": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "Softplus": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_POSITIVE
          ),
          "Softsign": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_NEG1_1
          ),
          "SoftmaxCentered": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED,
              Support.VECTOR_POSITIVE_WITH_L1_NORM_1_SIZE_GT1,
          ),
          "Square": BijectorSupport(
              Support.SCALAR_NON_NEGATIVE, Support.SCALAR_NON_NEGATIVE
          ),
          "Tanh": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_IN_NEG1_1
          ),
          "TransformDiagonal": BijectorSupport(
              Support.MATRIX_UNCONSTRAINED, Support.OTHER
          ),
          "Transpose": BijectorSupport(
              Support.SCALAR_UNCONSTRAINED, Support.SCALAR_UNCONSTRAINED
          ),
          "UnitVector": BijectorSupport(
              Support.VECTOR_UNCONSTRAINED,
              Support.VECTOR_WITH_L2_NORM_1_SIZE_GT1,
          ),
          "WeibullCDF": BijectorSupport(
              Support.SCALAR_NON_NEGATIVE, Support.SCALAR_IN_0_1
          ),
      }
      missing_keys = set(INSTANTIABLE_BIJECTORS.keys()) - set(
          supports.keys()
      )
      if missing_keys:
          raise ValueError(
              "Missing bijector supports: {}".format(missing_keys)
          )
      BIJECTOR_SUPPORTS = supports
      return BIJECTOR_SUPPORTS
  
imports: import collections
  import inspect
  from absl import logging
  import hypothesis.strategies
  import tensorflow.compat.v2
  from tensorflow_probability.python import bijectors
  from tensorflow_probability.python.distributions import lkj
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 3 for calling a global function with example usage: bijector_supports() and returns: BIJECTOR_SUPPORTS, BIJECTOR_SUPPORTS